Hi, I'm Jatan Rathod đź‘‹
Delivering Intelligent, Scalable solutions for Federal agencies and Fortune 500 companies.
JR

About

As a seasoned Data Engineering professional specializing in Applied AI, I design and deliver robust, scalable solutions that drive operational excellence and informed decision-making. My work spans multiple industries—including federal procurement, healthcare, education, aviation, and manufacturing—where I’ve consistently enabled organizations to realize significant ROI and transformative impact. With a deep understanding of complex data ecosystems, I translate intricate challenges into intelligent, actionable systems. My approach blends engineering precision with AI-driven innovation, empowering enterprises to streamline operations, uncover insights, and achieve strategic goals at scale.

Projects

Featured Projects

I've developed and delivered impactful, enterprise-grade data and AI systems for diverse organizations, ranging from federal agencies to Fortune 500 companies.

AcquisitionAI: USDA Procurement Intelligence Platform

Department of Agriculture (USDA)
Department of Agriculture (USDA)

Architected and implemented an advanced AI-driven platform optimizing the USDA's procurement lifecycle. Developed robust data pipelines for ingesting, cleaning, and transforming extensive procurement datasets, laying the foundation for powerful analytics. Leveraging sophisticated NLP and machine learning methods, the platform analyzes procurement trends, identifies optimal vendors, and significantly streamlines the acquisition process—delivering substantial operational efficiencies and cost reductions.

Python
Natural Language Processing (NLP)
Machine Learning
Semantic Search
ETL Pipelines
Government Procurement
Data Analytics
AI Applications
View Project

More Projects

Here are some other projects I've worked on.

HUBZone Economic Impact Study

Small Business Administration (SBA)
Small Business Administration (SBA)

Developed advanced data collection and analytical frameworks to support the SBA's HUBZone program. Created extensive ETL pipelines integrating diverse datasets to enable precise economic modeling and impact assessment. Designed complex input-output models to accurately measure job creation, economic output, and community development, directly influencing SBA policy and driving targeted community support.

Python
Data Engineering
Statistical Analysis
ETL Pipelines
Economic Modeling
Data Visualization
Policy Analysis

WOSB Industry Representation Analysis

Small Business Administration (SBA)
Small Business Administration (SBA)

Implemented comprehensive data infrastructure to analyze a decade of federal procurement data for the SBA. Engineered scalable ETL processes for transforming and examining large-scale procurement datasets, identifying key industries where Woman-Owned Small Businesses (WOSBs) faced underrepresentation. The insights generated informed strategic policy adjustments, promoting equitable distribution of federal contracting opportunities.

Python
Data Engineering
ETL Pipelines
Statistical Methods
Data Mining
Visualization
Federal Procurement Analysis

iAccessible: Federal Website Accessibility Platform

U.S. Department of Education & CMS Logo
U.S. Department of Education & CMS Logo
U.S. Department of Education & CMS

Engineered an enterprise-level platform that automates comprehensive accessibility testing and remediation for federal websites, ensuring full Section 508 compliance. Implemented sophisticated microservice architectures and ETL pipelines that collect, process, and analyze accessibility data across hundreds of domains. This solution enables agencies to efficiently identify, prioritize, and resolve digital accessibility issues, significantly boosting compliance and digital inclusion.

Python
Microservices
Prefect
Data Pipelines
ETL
Accessibility Testing
Automation

FAA Comments Processing & Analysis Tool

Federal Aviation Administration (FAA)
Federal Aviation Administration (FAA)

Built an AI-powered system to process and analyze public feedback regarding airport operations. Designed robust ETL pipelines for structured ingestion and management of unstructured textual data from numerous sources. Utilizing advanced NLP techniques, the platform efficiently classifies comments, extracts actionable insights, and identifies trends—enabling informed decision-making for improving airport operations and regulatory compliance.

Data Engineering
ETL Pipelines
Natural Language Processing (NLP)
Text Classification
Clustering
Python
AI Applications

DuPont-Dow Merger SAP Migration

DuPont
DuPont

Directed a strategic SAP data migration project critical to DuPont's merger with Dow Chemical. Developed advanced ETL processes consolidating disparate SAP environments, ensuring seamless data transfer, comprehensive system harmonization, and strict data integrity. Implemented meticulous data validation frameworks, achieving zero data loss and maintaining uninterrupted operational performance during this high-stakes corporate integration.

SAP
Data Migration
ETL Pipelines
Data Integration
Enterprise Systems
Data Validation
Manufacturing
Skills

Skills & Expertise

My technical skills span across various domains of data engineering and AI.

Data Engineering

Data Pipelines
ETL Processes
Data Integration
Data Warehousing
Data Modeling

AI & Machine Learning

Natural Language Processing (NLP)
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Semantic Search
Machine Learning

Programming

Python
SQL
JavaScript
TypeScript
React

Architecture

Microservices
Serverless
API Design
Cloud Infrastructure
Scalable Systems

Analytics

Statistical Analysis
Economic Modeling
Data Visualization
Business Intelligence
Predictive Analytics
Contact

Get in Touch

Want to chat? Just shoot me a dm with a direct question on twitter and I'll respond whenever I can. I will ignore all soliciting.